Global Data Architect – BigQuery, ETL & Data Modeling

Atos-North America

Alpharetta (GA)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Atos is seeking a senior data engineer/architect to design, build and operate end-to-end data platforms for enterprise clients. You will work across data engineering, analytics, and data architecture, collaborating with offshore teams and across time zones to deliver scalable data solutions.

You will mentor developers, review ETL code, and contribute to client-facing specifications and technical guides, ensuring data quality and governance across complex environments.

Qualifications

  • 8+ years in data engineering, analytics engineering, or data architecture.
  • 4+ years in an architect or senior BAU production-support capacity.
  • Source-to-target mappings and logical/physical data models for warehouse or integration platforms.
  • Hands-on with Google BigQuery and GCP data services (Cloud Storage, IAM, multi-project patterns).
  • Expert-level SQL for analytics and ETL (CTEs, windows, deduplication, SCD2).
  • Ability to review ETL code/SQL and mentor developers on implementation quality.
  • Debug end-to-end data pipelines: source lake integration dims/facts reporting.
  • Experience with enterprise dimensional modeling (star/snowflake schemas).
  • Excellent written communication; client-facing specs and developer-facing guides.

Skills

Data engineering
Analytics engineering
Data architecture
ETL development
SQL
Mentoring
Cross-time zone collaboration
Offshore teams

Tools

Google BigQuery
GCP data services
Apache Airflow
Cloud Composer

Job description

Atos is seeking a senior data engineer/architect to design, build and operate end-to-end data platforms for enterprise clients. You will work across data engineering, analytics, and data architecture, collaborating with offshore teams and across time zones to deliver scalable data solutions.

You will mentor developers, review ETL code, and contribute to client-facing specifications and technical guides, ensuring data quality and governance across complex environments.

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